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teatonedev/README.md

TEATONE

computer science
research engineering
machine learning & deep learning
high performance computing

Research engineer working at the intersection of scientific software, computational materials science, machine learning, and high-performance computing. My work is mostly centered around building research software, computational pipelines, ML / DL models, and tools for scientific workloads.

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              T C & C D E M

work

materials science
crystal structure prediction
density functional theory
machine learning
scientific software
high-performance computing
natural language processing

I work on computational materials research, crystal structure prediction, atomistic simulation, machine learning for scientific problems, and software infrastructure around these workflows.

A large part of my work involves taking research ideas and turning them into practical software: data pipelines, model training systems, command-line tools, APIs, automation, and reproducible computational workflows.

stack

languages
  python
  C
  c#
  shell

compute
  Linux
  CUDA
  MPI
  SLURM
  HPC

scientific
  PyTorch
  ASE
  Pymatgen
  Castep Automation
  atomistic ML / MLIPs

other
  docker
  git
  sql

current interests

crystal generation
materials discovery
machine learning interatomic potentials
domain adapted language models
gpu / hpc computing
research software engineering

profile

handle      teatonedev
environment linux
editor      terminal
focus       research + software

Pinned Loading

  1. Computer-Graphics-From-Scratch-openGL Computer-Graphics-From-Scratch-openGL Public

    C

  2. Llama-4-From-Scratch- Llama-4-From-Scratch- Public

    This repository is an implementation for Llama 4 model with BPE tokenizer, a Feed forward network and a Rotation Positional Encoder.

    Python

  3. Llama3.2-From-Scratch Llama3.2-From-Scratch Public

    This repository serves as an educational resource for building an open-source LLaMA model from scratch, with step-by-step explanations throughout the process.

    Python

  4. Natural-Language-Processing-Applications Natural-Language-Processing-Applications Public

    Repository contains implementations of various Natural Language Processing (NLP) algorithms and applications. It includes fundamental techniques such as tokenization, vectorization, TF-IDF, word em…

    Python